data-narasak 0.1.2

A Python package for data transformation and generating PDF reports with detailed analysis and visualizations.

Data Analysis & Transformation PDF Report Generator

A powerful Python toolkit for performing data transformations on tabular datasets and generating detailed, well-formatted PDF reports. Designed for data analysts, scientists, and engineers, this tool streamlines data preprocessing, exploratory analysis, and documentation by integrating transformation functions, visualizations, and report generation in one package.

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📌 Features

• Multi-format data loading: Supports CSV, Excel (.xlsx, .xls), and JSON files.
• Flexible data transformations: Normalization, log transformation, categorical encoding, and more.
• Comprehensive PDF reports: Include dataset overview, data types, summary statistics, missing and unique values, correlation matrices, data previews, transformed data insights, and before-after comparisons.
• Dynamic plot integration: Optional inclusion of plots like histograms, boxplots, scatterplots, bar charts, and heatmaps.
• Professional PDF formatting: Powered by ReportLab with support for pagination, text formatting, and image embedding.
• Automated cleanup: Temporary plot images are removed after embedding to keep your workspace tidy.
• Extensible modular design: Easy to customize and extend with your own transformations and visualizations.

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🚀 Installation

Install dependencies via pip:

pip install pandas reportlab matplotlib numpy openpyxl